Results 61 to 70 of about 6,759,569 (267)

Ultralow‐Energy Analog Reservoir Computing via Reconfigurable 2‐Transistor Memory

Advanced Science, EarlyView.
This work presents a reconfigurable reservoir‐computing platform based on an oxide InSnZnO two‐transistor cell in which a hold bias selects volatile relaxation for the reservoir or quasi‐non‐volatile multilevel storage for the readout. Multi‐level hold‐bias kernel tune relaxation currents to generate diverse time constants, enriching reservoir states ...
Jeong‐Min Park, Yeong‐In Kim, Jeong Hyun Yoon, Sein Lee, Wooho Ham, Dongyun Lee, Junseo Lee, Dongwook Shin, Kyung Jun Park, Seok Daniel Namgung, Min‐Kyu Song, Jang‐Yeon Kwon   +11 more
wiley   +1 more source

Specification(s) of Nested Logit Models [PDF]

The nested logit model has become an important tool for the empirical analysis of discrete outcomes. There is some confusion about its specification of the outcome probabilities. Two major variants show up in the literature.
Florian Heiss
core  

Oral Recombinant Human Collagen III Protects Gastric Mucosa via G‐Quadruplex‐Mediated Activation of the Pla2g4a‐Prostaglandin Axis

Advanced Science, EarlyView.
Orally administered recombinant human type III collagen protects the gastric mucosa from ethanol‐induced injury by coordinating redox homeostasis, epithelial barrier repair, and arachidonic acid–prostaglandin metabolism. Gastric digestion releases the pentapeptide GPAEF, which interacts with the Pla2g4a promoter G‐quadruplex in a structure‐dependent ...
Xinyue Lan, Qiu Dai, Yanhui Wang, Jiaxuan Gu, Chengyun Wang, Weicheng Xu, Xinru Gao, Jiageng Cheng, Wentao Geng, Xiaowen Wu, Haihang Li, Xiaoyun He, Shengwei Fu, Longjiao Zhu, Wentao Xu   +14 more
wiley   +1 more source

Bayesian multinomial logit

, 2009
Statisticians along with other scientists have made significant computational advances that enable the estimation of formerly complex statistical models.
Peter Congdon, Karlaftis, MG, Congdon, P, Karlaftis, Matthew, Mannering, Fred, Simon Washington, Congdon, Peter, Mannering, FL, Washington, S, Matthew G. Karlaftis, Fred L. Mannering, Washington, Simon, Karlaftis, Matthew G., Mannering, Fred L.   +13 more
core   +1 more source

Logit Perturbation

, 2022
Features, logits, and labels are the three primary data when a sample passes through a deep neural network. Feature perturbation and label perturbation receive increasing attention in recent years.
Wu, Ou, Li, Mengyang, Zhang, Ji, Su, Fengguang   +3 more
core   +1 more source

Transformer‐Based PET/CT Fusion Enables Preoperative Prediction and Prognostic Stratification of Spread Through Air Spaces in Lung Adenocarcinoma

Advanced Science, EarlyView.
An eight‐stream 2.5D Transformer integrates complementary PET metabolic and CT morphologic information to estimate spread‐through‐air‐spaces risk before surgery in lung adenocarcinoma. The model generalizes across independent centers, while its continuous risk score independently stratifies progression‐free survival, supporting further prospective ...
Xin‐Yu Zhu, Meng Meng, Zhen‐Zhen Wang, Deng‐Lu Lu, Ya‐Min Wei, Xu‐Chang Mi, Xing‐Yu Mu, Wei Fu   +7 more
wiley   +1 more source

Is neglected heterogeneity really an issue in binary and fractional regression models? A simulation exercise for logit, probit and loglog models [PDF]

In this paper we examine theoretically and by simulation whether or not unobserved heterogeneity independent of the included regressors is really an issue in logit, probit and loglog models with both binary and fractional data.
Joaquim J. S. Ramalho, Esmeralda A. Ramalho   +1 more
core  

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Understanding community willingness to participate in community-based sanitation programs: Insights from Labuan Bajo, Indonesia [PDF]

BIO Web of Conferences
This study investigates factors influencing community participation in adaptive environmental management programs in Labuan Bajo, Indonesia. Data from 477 residents were analyzed using binary logistic and probit regression models to evaluate the ...
Sofiyah Evi Siti, Rafida Hanifa Athaya, Caesarina Naila Putri   +2 more
doaj   +1 more source

How Video‐Based Information Affects Farmers' Willingness to Pay for Drone Services

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Professional service for digital technology like agricultural drones lowers transaction costs and scope thresholds for smallholders. Meanwhile, perceptual adoption barriers remain underexplored. We conduct a two‐stage choice experiment with a randomized video‐based information treatment among 384 Chinese crop farmers to measure its effect on ...
Hua Zhang, Lena Kuhn, Hang Xiong, Zhanli Sun, Thomas Glauben   +4 more
wiley   +1 more source